import pymysql
import pandas as pd

class MysqlUtils(object):
    """数据库工具类"""
    
    def __init__(self):
        self.conn = pymysql.connect(
            host='127.0.0.1',
            user='root',
            passwd='root',
            port=3305,
            database='scenic',
            charset='utf8'
        )
    def get_scentc_data(self):
        cursor = self.conn.cursor(cursor=pymysql.cursors.DictCursor)
        sql = """
        SELECT order_id, age, user_count, id_no, user_name, phone FROM (SELECT o.id as order_id, u.id_no, u.phone, u.user_name,
        case
            when length(u.id_no) = 18 THEN YEAR(NOW()) - CAST(substr(u.id_no, 7, 4) as signed)
                else NULL
                end as age,
                (SELECT count(*) FROM ticket_order_user_rel WHERE order_id = o.id) as user_count
        FROM ticket_order o JOIN ticket_order_user_rel u ON u.order_id = o.id WHERE u.id_no is not null and u.id_no != '') as subquery
        WHERE user_count = 1 and (age < 18 or age >= 60)
        """
        cursor.execute(sql)
        ret = cursor.fetchall()
        df = pd.DataFrame(ret)
        # print(df.head())
        df.to_csv('./outlier/scentc_data.csv')

if __name__ == '__main__':
    mu = MysqlUtils()
    mu.get_scentc_data()